Image Processing Coding Contest

ZEISS is calling all microscopists, coding enthusiasts, machine learning and software engineers for the best coding project in image processing

1 November 2018 - 24 January, 2019

Develop an innovative or challenging workflow solution and win 1 lakh rupees. The solution should address challenges faced by today’s microscopicsts who spend significant time on image processing tasks such as object detection and image segmentation. Don’t know coding? No problem. We also encourage microscopists without coding skills to participate as a team by finding a partner who can help with coding. You can provide the microscopy related challenge that your partner solves with his/her coding skills. The contest is open from 1 November 2018 to 24 January 2019 and the winner will be announced in February 2019.

How to create a module on APEER with your code?

The following video demonstrates how to create an APEER module using your existing Python code. For other scripting languages, please have a look at Wiki after logging on to www.apeer.com

Registration

What is APEER?

APEER is a ZEISS initiative to bring the researcher and algorithm engineer together to accelerate research. The cloud platform enables any researcher to create, customize, and execute software workflows all the way from image acquisition to report generation. Users can customize publicly shared application workflows or easily build personalized workflows for their specific jobs. Automation of image processing workflows saves valuable time that can be used for research that actually needs human involvement.

APEER is free to use and open to all in India.

How can APEER support You?

Automate recurring tasks Use APEER for your routine tasks and make them executable in one click. For example, you can automate the task of counting neurons or particles in your images using machine learning algorithms developed by you or your peers.

Use one platform for your entire experiment Define and execute end-to-end workflows, from image acquisition to getting results ready for publication. Create your own software modules using most scripting languages, including Python, Java, and ImageJ scripting. Let the system keep track of results from every step in the workflow.

Share – if you want to You can choose to share your work with specific users or with the entire APEER community. You can also keep it private for personal use. Sharing work increases visibility and minimizes reinventing code.

Digitalize your microscopy experience Access your data and run your workflows from anywhere and at any time. Visualize your images using any device, no more local hardware dependence. Leverage cloud infrastructure to scale resources accordingly.